AI and Wearable Technology in Cardiology: Streamlining Care, Reducing Burden, and Shaping the Future (non-ACE)-AI and Wearable Technology in Cardiology: Streamlining Care, Reducing Burden, and Shaping the Future (non-ACE)

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Video Summary

The session on digital health and innovation in cardiology focused on leveraging AI and wearable technology to streamline care and reduce the burden on healthcare systems. Led by Angelo Viviano and Aki Atiyah, the session featured four experts discussing the clinical benefits, challenges, and future directions of wearables, particularly in arrhythmia management. <br /><br />Nikhil Alawalewe highlighted the effectiveness of self-monitoring with wearables, such as the Apple Watch, in detecting arrhythmias and influencing patient care through data collection. Despite demonstrating a high positive predictive value in arrhythmia detection, about a third of ECGs recorded by wearables were found to be inconclusive, underscoring the need for further algorithm improvements.<br /><br />Linda Johnson shared insights on reducing administrative burden through AI-enabled wearable data integration, noting the potential for AI models to assist healthcare professionals by minimizing human diagnostic errors and enhancing efficiency.<br /><br />Terence Chuu evaluated the cost-effectiveness of wearable technology in healthcare, especially for atrial fibrillation detection. He emphasized the necessity for comprehensive economic analyses that account for false positives and adequate reimbursement models to promote wearable adoption in clinical practice.<br /><br />Paul Friedman discussed future prospects, including predictive diagnostics with AI-powered wearables that continuously monitor patient health outside the hospital setting, potentially transforming patient care practices.<br /><br />The session concluded with discussions on integrating these technologies into everyday clinical workflows, the need for outcome-driven studies, and addressing challenges like data privacy and reimbursement. The speakers called for a proactive approach and further research to fully harness the potential of AI and wearables in improving cardiovascular care.

Keywords

digital health

AI in cardiology

wearable technology

arrhythmia management

self-monitoring

Apple Watch

AI-enabled integration

cost-effectiveness

predictive diagnostics

data privacy